ALGORITHMS AND DATA STRUCTURES FOR MASSIVE DATASETS

Introduces processing and analytics techniques for large distributed data. Packed with industry stories and illustrations, this guide makes even complex concepts easy to understand. You'll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases.